Fuzzy Adaptive Decentralized Control for Nonstrict-Feedback Large-Scale Switched Fractional-Order Nonlinear Systems

被引：33
作者：
Bi, Wenshan [1 ]
Wang, Tong [2 ]
Yu, Xinghu [3 ]
机构：
[1] Univ Macau, Fac Sci & Technol, Macau, Peoples R China
[2] Harbin Inst Technol, Res Inst Intelligent Control & Syst, Harbin 230100, Peoples R China
[3] Harbin Inst Technol, Ningbo Inst Intelligent Equipment Technol, Ningbo 315200, Peoples R China
来源：
IEEE TRANSACTIONS ON CYBERNETICS | 2022年 / 52卷 / 09期
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Switches; Large-scale systems; Decentralized control; Adaptive systems; Nonlinear systems; Fuzzy control; Lyapunov methods; Adaptive fuzzy control; fractional-order systems; large-scale systems; switched systems; BACKSTEPPING CONTROL; CONTROL DESIGN; STABILIZATION;
D O I：
10.1109/TCYB.2021.3061136
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article investigates the adaptive fuzzy control algorithm for a class of large-scale switched fractional-order nonlinear nonstrict feedback systems. In this algorithm, we utilize fuzzy-logic systems (FLSs) to approximate the complicated unknown nonlinear functions. Based on the fractional Lyapunov stability rules, a virtual control law is presented. A fuzzy adaptive decentralized control method is developed under the technique of the Lyapunov function. Under the operation of the proposed algorithm, the stability of the proposed systems and the control performance can be guaranteed. Finally, simulation results are presented to illustrate the feasibility and effectiveness of the proposed method.
引用
收藏
页码：8887 / 8896
页数：10
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